H-1B1 Singapore Visa Data Scientist Jobs
Data Scientist roles qualify for H-1B1 Singapore visa sponsorship under the U.S.-Singapore Free Trade Agreement, with no lottery and a 5,400-visa annual cap that has never been exhausted. Employers file the Labor Condition Application directly with DOL, and you apply at the U.S. Embassy in Singapore, bypassing USCIS entirely.
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About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division works with internal clients to provide data management and decision support tools to optimize the efficiency and efficacy of research and development at AbbVie. As a member of the ABA Data Science team, the Senior Data Scientist II will support projects in Precision Medicine, Oncology Early Discovery, Allergan, and Omics research. This role conceives, designs, and implements innovative solutions for scientific and business challenges through the integration, visualization, and analysis of datasets. This role is responsible for identifying, developing & optimizing new methods, algorithms and technologies to gain insights and improve productivity in multiple business areas. This is a cross-functional role, working with discovery scientists, technology stakeholders in Information Research and Business Platforms partners to optimize data capture, analysis, and decision-making. We are looking for innovators who are passionate about the next generation of intelligent automation and agentic AI. Those who find agent development, agentic automation, and AI-driven process optimization are encouraged to apply.
Key Responsibilities
- Communicate – ability to communicate with scientific individuals from Discovery teams to understand existing workflows and data flow & gather requirements
- Collaborative Design – understand the client’s needs, propose solutions, and develop appropriate solutions
- Build – Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data, including genomics, biomarkers, & clinical data
- Integrate – understand the value in capturing data properly, and integrating data sets
- Support – provide solutions to performance-related issues and work with downstream systems to support data driven demands
- Technical Proficiency - Demonstrate high proficiency in technologies for data storage, transfer, integration, visualization, and advanced analytics
- Adaptability – ability to work on multiple, sometimes very different, projects at one time
- Breadth – as a talented and motivated Senior Data Scientist II, contribute independently to a wide variety of projects related to enhancing drug discovery & development
Qualifications
Required:
- Bachelor's Degree with 7 years’ experience; Master's Degree with 6 years’ experience; PhD with 2 years’ experience
- Working knowledge of drug discovery and development process
- Dedicated team player who can interface with stakeholders from a variety of internal IT disciplines (DBAs, architects, developers, etc.) and external customers (discovery scientists, therapeutic area scientists, pathologists, etc.)
- Strong programming proficiency in Python (and possibly other modern languages) with a focus on software engineering best practices, modular code, and robust deployment pipelines and strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
- Experience with ML Ops, continuous integration/continuous deployment (CI/CD), and working with production environments (Docker, cloud platforms like AWS/Cloudera)
- Ability to work independently, multitask, and work within timelines
- Excellent communication skills for cross-functional collaboration, including documenting and presenting technical solutions to non-technical stakeholders: outstanding interpersonal, verbal, and written communication skills
- A self-motivated learner and thinker with a hands-on approach who wants to harness the power of claude
Preferred:
- Background in life sciences, biology, or equivalent, and demonstrated technical proficiency in the pharmaceutical industry
- Experience working with data from: clinical trials, Biomarkers, and omics data
- Familiarity with frameworks for agent-based modeling or multi-agent systems (e.g., OpenAI GPTs, LangChain, AutoGPT, or similar agent frameworks)
- Ability to architect and optimize agent workflows and design agentic processes to solve business or scientific challenges
- Familiarity with modern data science and AI techniques, especially as they pertain to autonomous or semi-autonomous systems
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division works with internal clients to provide data management and decision support tools to optimize the efficiency and efficacy of research and development at AbbVie. As a member of the ABA Data Science team, the Senior Data Scientist II will support projects in Precision Medicine, Oncology Early Discovery, Allergan, and Omics research. This role conceives, designs, and implements innovative solutions for scientific and business challenges through the integration, visualization, and analysis of datasets. This role is responsible for identifying, developing & optimizing new methods, algorithms and technologies to gain insights and improve productivity in multiple business areas. This is a cross-functional role, working with discovery scientists, technology stakeholders in Information Research and Business Platforms partners to optimize data capture, analysis, and decision-making. We are looking for innovators who are passionate about the next generation of intelligent automation and agentic AI. Those who find agent development, agentic automation, and AI-driven process optimization are encouraged to apply.
Key Responsibilities
- Communicate – ability to communicate with scientific individuals from Discovery teams to understand existing workflows and data flow & gather requirements
- Collaborative Design – understand the client’s needs, propose solutions, and develop appropriate solutions
- Build – Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data, including genomics, biomarkers, & clinical data
- Integrate – understand the value in capturing data properly, and integrating data sets
- Support – provide solutions to performance-related issues and work with downstream systems to support data driven demands
- Technical Proficiency - Demonstrate high proficiency in technologies for data storage, transfer, integration, visualization, and advanced analytics
- Adaptability – ability to work on multiple, sometimes very different, projects at one time
- Breadth – as a talented and motivated Senior Data Scientist II, contribute independently to a wide variety of projects related to enhancing drug discovery & development
Qualifications
Required:
- Bachelor's Degree with 7 years’ experience; Master's Degree with 6 years’ experience; PhD with 2 years’ experience
- Working knowledge of drug discovery and development process
- Dedicated team player who can interface with stakeholders from a variety of internal IT disciplines (DBAs, architects, developers, etc.) and external customers (discovery scientists, therapeutic area scientists, pathologists, etc.)
- Strong programming proficiency in Python (and possibly other modern languages) with a focus on software engineering best practices, modular code, and robust deployment pipelines and strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
- Experience with ML Ops, continuous integration/continuous deployment (CI/CD), and working with production environments (Docker, cloud platforms like AWS/Cloudera)
- Ability to work independently, multitask, and work within timelines
- Excellent communication skills for cross-functional collaboration, including documenting and presenting technical solutions to non-technical stakeholders: outstanding interpersonal, verbal, and written communication skills
- A self-motivated learner and thinker with a hands-on approach who wants to harness the power of claude
Preferred:
- Background in life sciences, biology, or equivalent, and demonstrated technical proficiency in the pharmaceutical industry
- Experience working with data from: clinical trials, Biomarkers, and omics data
- Familiarity with frameworks for agent-based modeling or multi-agent systems (e.g., OpenAI GPTs, LangChain, AutoGPT, or similar agent frameworks)
- Ability to architect and optimize agent workflows and design agentic processes to solve business or scientific challenges
- Familiarity with modern data science and AI techniques, especially as they pertain to autonomous or semi-autonomous systems
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
See all 269+ Data Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Scientist
Verify your degree field matches the role
H-1B1 visa requires a specialty occupation tied to a specific academic discipline. A Data Scientist role must map to a degree in statistics, computer science, mathematics, or a directly related field. A general business degree won't satisfy the requirement even if you've been doing data work for years.
Use OFLC Wage Search before salary negotiations
Your employer's Labor Condition Application must certify a wage at or above the DOL prevailing wage for Data Scientists in that metro area. Pull the Level I through Level IV wage tiers from OFLC Wage Search before any offer conversation so you know the floor before they name a number.
Target employers already filing H-1B1 LCAs
Search Migrate Mate to identify employers with verified H-1B1 Singapore LCA filing history for data and analytics roles. These companies have already navigated the DOL certification process and don't need internal education on how the visa works.
Confirm the SOC code on your job offer
Employers assign a Standard Occupational Classification code when filing the LCA. For Data Scientist roles, insist on SOC 15-2051 rather than a broader software developer code. The wrong SOC code can create a prevailing wage mismatch that delays or complicates your consular application.
Prepare an O*NET-aligned job duties summary
Consular officers assess whether your role genuinely requires a theoretical and practical application of highly specialized knowledge. Pull the Data Scientist occupation profile from O*NET and align your offer letter's duties language to it before your Embassy appointment in Singapore.
Time your application around two-year renewal windows
H-1B1 is issued in one-year increments at the consulate but your employer can request two-year validity on the LCA. Confirm your employer files for the full two-year period so you avoid annual return trips to the Embassy while you're building tenure in a data role.
Frequently Asked Questions
Does a Data Scientist role qualify as a specialty occupation for H-1B1 Singapore?
Yes. Data Scientist positions qualify because they require at least a bachelor's degree in a specific field such as statistics, computer science, or applied mathematics. The role must genuinely require theoretical and practical application of highly specialized knowledge. Roles where any bachelor's degree is acceptable regardless of field would not satisfy the specialty occupation standard under H-1B1.
How does H-1B1 Singapore compare to H-1B for Data Scientist roles?
The H-1B visa1 Singapore visa has a 5,400-visa annual cap that has never been exhausted, so there's no lottery and no random selection risk. H-1B has an 85,000-visa cap subject to an oversubscribed lottery most years. H-1B1 is also processed at the U.S. Embassy in Singapore rather than through USCIS, which typically means a faster path to starting work once your employer's Labor Condition Application is certified by DOL.
How do I find employers who will sponsor an H-1B1 Singapore visa for a Data Scientist position?
Search Migrate Mate to find employers with active H-1B1 Singapore LCA filing history for data science and analytics roles. Many companies default to H-1B sponsorship workflows internally, so targeting employers who have already processed H-1B1 applications saves you from having to educate hiring teams or legal departments about how the visa works during the offer stage.
Can my employer sponsor H-1B1 while I'm still in Singapore before relocating?
Yes. The H-1B1 Singapore process is consular-based, meaning your employer files the Labor Condition Application with DOL and you apply for the visa stamp at the U.S. Embassy in Singapore before you travel. You don't need to already be in the United States. Once the Embassy approves your application, you enter the U.S. in H-1B1 status on your first day of work.
What documentation does a Data Scientist need for the H-1B1 consular interview?
You'll need your certified Labor Condition Application, a support letter from your employer detailing your Data Scientist duties, educational transcripts and degree certificates confirming your relevant field of study, and DS-160 confirmation. Because the specialty occupation claim rests on the degree-to-role connection, bring documentation showing how your academic background directly applies to the data science work you'll be performing.
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